Sentence examples for structural predictor from inspiring English sources

More mundanely, we cannot quantify the reliability of any (structural) predictor without a larger set of experimentally characterized mutations that are both deleterious and amenable to buffering.

In our analysis, cingulum bundle integrity, especially of the anterior portion, appeared as a strong structural predictor of individual's behavioral apathy traits (Fig. 6).

Since changes in mesangial fractional volume are, on average, minimal in the first ≈15 years of T1DM, it did not serve as an early structural predictor of progression to microalbuminuria (37).

Golder and Yardi conducted a user study to identify structural predictors for tie formation in Twitter.

Such divergence between clinical versus structural predictors of anti-inflammatory efficacy has also been reported following administration of TNFα blockers to mice with established CIA [ 46] or following overexpression of human TNFα in transgenic mice with chronic polyarthritis [ 45].

In terms of brain structural predictors of treatment response, regional volume reductions in the right hippocampus, as determined through manual segmentation techniques, were associated with poorer response to treatment [ 11].

It provides an opportunity to examine IH and both its structural predictors and its associations with HIV risk behaviour in a large and geographically diverse sample, with sufficient countries to enable analysis by country-level (macro) as well as local-level (meso) and individual-level (micro) variables.

Current structural damping predictor models for buildings are based on measurements at amplitudes that are very low relative to those corresponding to wind-resistant design.

Minor variations in the overall behavior may also depend on the experimental method used to identify the region (NMR, X-ray crystallography and circular dichroism) [ 71], the disordered region size [ 72], the structural disorder predictor [ 10] and the location of the disordered region along the sequences (N-terminal, C-terminal and intermediate) [ 73].

An observed variable was specified in the model by fixing the regression slope to 1 and the measurement error to 0. In the structural model, predictors found to be significant in the forward-stepwise models (exogenous variables) were regressed onto the three measured PD need outcomes (endogenous variables).

These clustering methods outperform other MQAP methods and are "very useful for structural meta-predictors ".